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Rcgmin

Rcgmin: Conjugate Gradient Minimization of Nonlinear Functions. Conjugate gradient minimization of nonlinear functions with box constraints incorporating the Dai/Yuan update. This implementation should be used in place of the ”CG” algorithm of the optim() function.

Keywords for this software

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  • R
  • Journal of Statistical Software
  • R package
  • nonlinear parameter optimization
  • nonlinear optimization
  • maximization
  • computer language (\mathbbR)
  • nonlinear programming
  • best practice
  • NLPE
  • gradient
  • wrapper
  • unconstrained optimization
  • trust region
  • minimization
  • sparse Hessian
  • scaling
  • mathematical optimization
  • optimization methods
  • Newton
  • optimization algorithms
  • nonlinear parameter estimation
  • optimization

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: John C. Nash
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
y Sorted by year (citations)

  1. John Nash: On Best Practice Optimization Methods in R (2014) not zbMATH
  2. Michael Braun: trustOptim: An R Package for Trust Region Optimization with Sparse Hessians (2014) not zbMATH
  3. Nash, John C.: Nonlinear parameter optimization using R tools (2014)
  4. John Nash; Ravi Varadhan: Unifying Optimization Algorithms to Aid Software System Users: optimx for R (2011) not zbMATH

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  • MSC classification / top
    • Top MSC classes
      • 68 Computer science
      • 90 Optimization

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